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    • Recent progress in rotation-invariant point cloud networks

    • Point cloud deep learning networks have made significant progress in the field of 3D vision, but face challenges in rotational transformations. The expert system has organized the research content and methods of rotation invariant point cloud networks, providing new directions for future development.
    • Vol. 30, Issue 12, Pages: 3782-3803(2025)   

      Received:23 January 2025

      Revised:2025-04-25

      Accepted:20 May 2025

      Published:16 December 2025

    • DOI: 10.11834/jig.250029     

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  • Wang Zhengbao, Zeng Zhenxuan, Ouyang Xuan, Chen Haozhe, Li Linjie, Yang Jiaqi. 2025. Recent progress in rotation-invariant point cloud networks. Journal of Image and Graphics, 30(12):3782-3803 DOI: 10.11834/jig.250029.
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相关作者

Wang Zhengbao 西北工业大学计算机学院
Zeng Zhenxuan 西北工业大学计算机学院
Xuan Ouyang 西北工业大学计算机学院
Chen Haozhe 西北工业大学计算机学院
Li Linjie 西北工业大学计算机学院
Yang Jiaqi 西北工业大学计算机学院
Hao Wen 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Zuo Zhanbin 西安理工大学计算机科学与工程学院

相关机构

Department of Computer Science,Xi’an University of Technology
Shaanxi Key Laboratory for Network Computing and Security Technology
China Mobile Research Institute
Vehicle Engineering College, Dalian Jiaotong University
School of Computer and Information Technology, Shanxi University
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